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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Agricultural Genetic Resources Preservation Research » Research » Publications at this Location » Publication #386363
Research Project: Efficient and Effective Preservation and Management of Plant and Microbial Genetic Resource Collections

Location: Agricultural Genetic Resources Preservation Research

Title: Meta-analysis of QTLome for grain zinc and iron contents in wheat (Triticum aestivum L.)

Author
item SHARIATIPOUR, NIKWAN - Shiraz University
item HEIDARI, BAHRAM - Shiraz University
item Richards, Christopher

Submitted to: Euphytica
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/27/2021
Publication Date: 4/13/2021
Citation: Shariatipour, N.A., Heidari, B.M., Richards, C.M. 2021. Meta-analysis of QTLome for grain zinc and iron contents in wheat (Triticum aestivum L.). Euphytica. 217. Article e86. https://doi.org/10.1007/s10681-021-02818-8.
DOI: https://doi.org/10.1007/s10681-021-02818-8

Interpretive Summary: Combining experimental mapping data into one unified analysis, called meta QTL analysis, can improve the precision and accuracy in the genetic map locations of useful traits. In this study, we combine these data from seven different studies that used SNP variation and over 500 loci to significantly improve the mapping precision for loci involved in biofortification of wheat for Zinc and Iron content.

Technical Abstract: Zinc and iron are essential micronutrients for the growth, development, and maintenance of the immune system at high levels. Analysis of genetic control of grain Zn and Fe through identification of QTLs helps to identify linked markers for use in marker-assisted breeding and biofortification of wheat grain in breeding programs. Meta-QTL analysis (MQTL analysis) is a robust method to integrate information on QTLs in independent populations, which is useful for understanding the genetic architecture of quantitative traits. In this meta-analysis, information on QTLs for iron and zinc contents in seven independent segregating populations was used to develop a reference consensus map. The consensus map consisting of 558 DNA markers covered 1028 cM of the wheat genome and seven MQTLs were identified on six wheat chromosomes. The MQTLs identified possessed a narrower (7.03 cM) confidence.